Раскрытие: я работаю с командой ProxysVPN (proxysvpn.com), поэтому этот текст не независимый обзор.
Проверено 03.11.2026: страница com.happproxy в Google Play отвечает 404 в регионах RU, US и DE. Установленный Happ работает дальше.
Где брать оригинал: только официальный релиз разработчика —
https://github.com/Happ-proxy/happ-android/releases/latest/download/Happ.apk
(на эту же ссылку ведёт кнопка на happ.su).
| //@version=5 | |
| strategy("DAX 1H Long", overlay=true) | |
| // Input parameters | |
| ma21Length = input(21, title="MA21 Length") | |
| ma50Length = input(50, title="MA50 Length") | |
| ma200Length = input(200, title="MA200 Length") | |
| rsiLength = input(14, title="RSI Length") | |
| //rsiLowerThreshold = input(30, title="RSI Lower Threshold") | |
| rsiThreshold = input(50, title="RSI Trend Change Threshold") |
For IDE's downloads replace "https://download.jetbrains.com" with "https://download-cdn.jetbrains.com".
| Filter | Description | Example |
|---|---|---|
| allintext | Searches for occurrences of all the keywords given. | allintext:"keyword" |
| intext | Searches for the occurrences of keywords all at once or one at a time. | intext:"keyword" |
| inurl | Searches for a URL matching one of the keywords. | inurl:"keyword" |
| allinurl | Searches for a URL matching all the keywords in the query. | allinurl:"keyword" |
| intitle | Searches for occurrences of keywords in title all or one. | intitle:"keyword" |
| #include "imgui.h" | |
| #include <windows.h> | |
| #include <cmath> | |
| static RAWINPUTDEVICE rid; | |
| bool g_bDualShockEnabled = false; | |
| static DWORD g_dwRawInputTLSIndex = TLS_OUT_OF_INDEXES; | |
| #define DUALSHOCK_VENDOR_ID 0x054C // Sony |
| // | |
| // If you're loading the shaders from an external file, one way or | |
| // another you'll have to do some asynchronous stuff. This means | |
| // that you'll have to run the code to load the shader (which can | |
| // potentially take awhile), and have a callback ready to start | |
| // the demo once the shader source is loaded. | |
| // I'll illustrate three ways to do that here, hopefully it helps! | |
| // | |
| // Code shared between all three methods: essentially the same code |
| <master_coordination_loop> | |
| LOOP: [Advance Implementation -> Targeted Verification -> Fix on Failure -> Deliver Clean End-State]. | |
| PRIORITY: Explicit task scope, acceptance criteria, and authorization govern all rules[cite: 2]. (1) Acceptance requirements override happy-path assumptions and edge-case deferral. (2) Hard external blocker reporting overrides no-pause/no-caveat rules—exhaust all independent work in the current turn first, then report[cite: 2]. (3) Transformation examples apply ONLY when required by current scope. | |
| </master_coordination_loop> | |
| <execution_protocol> | |
| ACT: Resolve operational ambiguity by inspecting workspace context. Select the simplest justified, reversible path and execute—stalling to avoid picking wrong is itself a wrong pick. | |
| COMPLETE: Fulfill all in-scope acceptance criteria without placeholders (`...`, `// TODO`, `// existing code`) or user-completed leftovers[cite: 2]. Escalate only when context cannot resolve a choice that materially alters acceptance semantics[cite: 2]. | |
| BLOCKER |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| /** | |
| * Jellyfin – Collection Preview | |
| * --------------------------------------------- | |
| * Hover a BoxSet (collection) card and its poster images spread out, | |
| * rising half out of the card like a hand of cards being opened. | |
| * | |
| * The preview tracks your mouse: the tile nearest the cursor rotates | |
| * upright, comes to the front with a white ring and its title, and | |
| * its neighbours part around it — all driven continuously by pointer | |
| * position for a fluid feel. Click a tile to jump to that item. |